Run: 2026-02-19-01KHTX81MH1QMJ10WX25PEVNP5

Run Details

Duration:
1m 5s
Cost:
$0.159105

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The rain hammered against the windows of The Raven's Nest, creating rivers that distorted the green neon glow from the sign outside. Aurora Carter pushed through the heavy door, water dripping from her delivery jacket onto the worn hardwood floor. The familiar smell of whiskey and old leather wrapped around her like a blanket. "Kitchen delivery," she announced to the mostly empty bar, hefting the insulated bags higher on her shoulder. The dinner rush at the Golden Empress had been brutal, and this was her last stop before she could retreat upstairs to her flat. Silas emerged from behind the bar, polishing a glass with practiced movements despite the slight catch in his left leg as he walked. "Through the back, Rory. You know the way." She nodded, weaving between the mismatched tables and chairs. The walls seemed to watch her pass, their collection of faded maps and photographs documenting adventures she could only imagine. As she rounded the corner toward the kitchen, a voice stopped her cold. "Aurora?" The bags nearly slipped from her grip. She turned, heart pounding against her ribs. A man sat alone in the corner booth, a half-empty pint of lager catching the amber light from the overhead lamp. His face was thinner than she remembered, cheekbones sharp where they'd once been soft, and his sandy hair was cut short in a way that made him look older than his twenty-six years. "Evan." The name tasted bitter on her tongue. He stood, and she noticed how his expensive suit hung loose on his frame. "Christ, it is you. I thought I was seeing things." His accent had changed—the rough Cardiff edges smoothed into something more refined, more London. "What are you doing here?" "Working." She adjusted the bags on her shoulder, using the weight as an anchor. "I should—" "Please." He gestured to the seat across from him. "Just for a minute? It's been, what, two years?" "Twenty-six months." The words escaped before she could stop them. His laugh was hollow. "You always did have a head for numbers." Against her better judgment, Aurora set the bags down and slid into the booth. The vinyl squeaked under her weight, and she caught her reflection in the dark window—delivery jacket, hair plastered to her head from the rain, shadows under her eyes. Nothing like the law student he'd known. "You look good," Evan said, though his eyes said otherwise. "Different." "You too." She kept her hands flat on the table, noticing how he noticed the small crescent scar on her left wrist. The one from the glass he'd thrown that night, though she'd told everyone it was from climbing a fence as a child. "I heard you left university." He traced the rim of his glass with one finger. "Your mum ran into mine at Tesco last Christmas. Said you'd moved to London." "News travels." "She also said you were working in a restaurant?" Aurora felt heat rise in her cheeks. "It pays the bills." "But you were top of the class. Professor Williams said you had the best legal mind he'd seen in years." "Professor Williams said a lot of things." She glanced toward the kitchen, calculating how long before Silas would wonder where she'd gone. "Look, I really need to—" "I went to therapy." The words tumbled out of him in a rush. "After you left. I know it doesn't... I know it's too late, but I wanted you to know. I'm different now." She studied his face, searching for traces of the boy who'd charmed her in their first-year tort law seminar. The one who'd brought her coffee during late-night study sessions and made her laugh until her sides ached. Before the drinking got worse. Before the accusations and apologies became a endless cycle. "Good for you," she said, meaning it despite herself. "I got into Clifford Chance. Corporate law, like we always talked about." He pulled out his phone, angling it so she could see his LinkedIn profile photo—professional headshot, confident smile, the London skyline behind him. "Remember how we used to plan it all out? The flat in Canary Wharf, the whole thing?" "I remember." "And you? Any plans to go back? Finish your degree?" Aurora's fingers found the scar again, a habit she'd developed without realizing. "No." "But you only had a year left. Surely—" "Things change." She thought of the restraining order paperwork she'd never filed, the bruises she'd hidden under long sleeves, the night Eva had driven down from London at two in the morning to pack her things while Evan was passed out on the couch. "People change." "I know I did." He leaned forward, and she caught a whiff of his cologne—different from the one he used to wear. More expensive. "Aurora, I need to say—" "No." The word came out sharper than she intended. "You don't need to say anything." "But I do. The way I treated you, the things I said—" "Stop." "—when I was drinking, it was unforgivable. I know that now. Dr. Morrison helped me see—" "I said stop." Aurora's voice cut through the bar's ambient noise. From the corner of her eye, she saw Silas look up from the glass he was polishing. "You want absolution? Fine. I forgive you. Happy?" "That's not... I'm not asking for forgiveness. I just wanted to explain—" "Explain what? How sorry you are? How you've changed? How therapy gave you insight into your behavior?" She felt the familiar rage building, the one she'd learned to compress into a tight ball in her chest. "You think because you wear a better suit and work at a magic circle firm that it erases everything?" "Of course not—" "Do you know why I really left?" Aurora's hands clenched into fists under the table. "Not because of the bruises or the screaming or the mind games. I left because I looked at my future and saw my mother. Twenty years of making excuses, of believing promises, of thinking love meant accepting pain as currency." Evan's face drained of color. "Aurora, I never meant—" "You never meant a lot of things." She stood, grabbing the delivery bags. "But intent doesn't erase impact, does it? First thing they teach you in tort law." "Please, just let me—" "Let you what? Tell me about your therapy breakthrough? Show me your business cards? Prove you're one of the good ones now?" Aurora shook her head. "You know what the difference is between us? You got to reinvent yourself with a clear conscience and a clean record. I'm the one still paying for believing in you." She turned to leave, then stopped. "For what it's worth, I'm glad you got help. Really. Just don't mistake that for wanting anything to do with your redemption story." Evan slumped back in the booth. "I think about it every day. What I did to you." "No," Aurora said quietly, "you think about what it did to you. There's a difference." She walked away, her footsteps steady despite the trembling in her legs. Behind the bar, Silas gave her a small nod—the kind of acknowledgment that said he'd been ready to intervene if needed. She disappeared into the kitchen, leaving Evan alone with his expensive suit and his reformed conscience. The rain had stopped by the time she finished the delivery, but the streets still gleamed with reflected light. Aurora stood in the doorway of The Raven's Nest, breathing in the cool air. Through the window, she could see Evan still sat in the booth, staring at his empty glass. Twenty-six months. She'd rebuilt herself from scratch in that time, found strength in the silence he'd once filled with chaos. Let him have his Canary Wharf flat and his corporate success. She had something better—the freedom to choose who she wanted to be, unmarked by his expectations or apologies. The green neon sign flickered above her as she climbed the stairs to her flat, casting strange shadows on the wall. Behind her, she heard the bar door open and close, followed by expensive shoes on wet pavement, walking away.
total_cost0.159105

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags22
adverbTagCount1
adverbTags
0"Aurora said quietly [quietly]"
dialogueSentences58
tagDensity0.379
leniency0.759
rawRatio0.045
effectiveRatio0.034
89.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1364
totalAiIsmAdverbs3
found
0
adverb"really"
count3
highlights
0"really"
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
63.34% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1364
totalAiIsms10
found
0
word"familiar"
count2
1
word"pounding"
count1
2
word"weight"
count2
3
word"traced"
count1
4
word"calculating"
count1
5
word"footsteps"
count1
6
word"silence"
count1
7
word"flickered"
count1
highlights
0"familiar"
1"pounding"
2"weight"
3"traced"
4"calculating"
5"footsteps"
6"silence"
7"flickered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"clenched jaw/fists"
count1
highlights
0"clenched into fists"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences64
matches(empty)
53.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences64
filterMatches
0"look"
1"know"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences99
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1351
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount880
uniqueNames14
maxNameDensity1.02
worstName"Aurora"
maxWindowNameDensity2.5
worstWindowName"Aurora"
discoveredNames
Raven2
Nest2
Carter1
Golden1
Empress1
Cardiff1
London3
Aurora9
Silas4
LinkedIn1
Eva1
Evan6
Canary1
Wharf1
persons
0"Raven"
1"Nest"
2"Carter"
3"Empress"
4"Aurora"
5"Silas"
6"Eva"
7"Evan"
places
0"Golden"
1"Cardiff"
2"London"
globalScore0.989
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences57
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1351
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences99
matches
0"thrown that night"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs51
mean26.49
std18.66
cv0.705
sampleLengths
054
141
231
342
41
568
68
743
816
918
1010
1112
1249
1311
1444
1529
162
179
1811
1920
2027
2134
2251
239
2452
252
2610
2713
288
2946
3029
3115
3212
331
3416
3536
3612
3755
383
3955
409
4128
424
4356
4429
4517
4615
4749
4850
4949
99.78% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences64
matches
0"was passed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs152
matches
0"was drinking"
1"was polishing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences7
totalSentences99
ratio0.071
matches
0"\"Christ, it is you. I thought I was seeing things.\" His accent had changed—the rough Cardiff edges smoothed into something more refined, more London."
1"The vinyl squeaked under her weight, and she caught her reflection in the dark window—delivery jacket, hair plastered to her head from the rain, shadows under her eyes."
2"\"I got into Clifford Chance. Corporate law, like we always talked about.\" He pulled out his phone, angling it so she could see his LinkedIn profile photo—professional headshot, confident smile, the London skyline behind him."
3"\"I know I did.\" He leaned forward, and she caught a whiff of his cologne—different from the one he used to wear."
4"\"—when I was drinking, it was unforgivable. I know that now. Dr. Morrison helped me see—\""
5"Behind the bar, Silas gave her a small nod—the kind of acknowledgment that said he'd been ready to intervene if needed."
6"She had something better—the freedom to choose who she wanted to be, unmarked by his expectations or apologies."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount821
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.0194884287454324
lyAdverbCount5
lyAdverbRatio0.0060901339829476245
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences99
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences99
mean13.65
std8.94
cv0.655
sampleLengths
022
118
214
317
424
523
68
79
820
913
101
117
127
1321
1433
158
1614
1724
185
1914
202
219
229
2310
244
258
2614
2728
287
2910
301
3122
3222
3315
3414
352
369
377
384
3920
4022
415
4213
4321
4419
4518
465
479
489
4935
79.80% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.48484848484848486
totalSentences99
uniqueOpeners48
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences62
matches(empty)
ratio0
65.16% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences62
matches
0"she announced to the mostly"
1"She nodded, weaving between the"
2"She turned, heart pounding against"
3"His face was thinner than"
4"He stood, and she noticed"
5"His accent had changed—the rough"
6"She adjusted the bags on"
7"He gestured to the seat"
8"His laugh was hollow."
9"She kept her hands flat"
10"He traced the rim of"
11"She glanced toward the kitchen,"
12"She studied his face, searching"
13"she said, meaning it despite"
14"He pulled out his phone,"
15"She thought of the restraining"
16"He leaned forward, and she"
17"She felt the familiar rage"
18"She stood, grabbing the delivery"
19"She turned to leave, then"
ratio0.387
32.58% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount53
totalSentences62
matches
0"The rain hammered against the"
1"Aurora Carter pushed through the"
2"The familiar smell of whiskey"
3"she announced to the mostly"
4"The dinner rush at the"
5"Silas emerged from behind the"
6"She nodded, weaving between the"
7"The walls seemed to watch"
8"The bags nearly slipped from"
9"She turned, heart pounding against"
10"A man sat alone in"
11"His face was thinner than"
12"The name tasted bitter on"
13"He stood, and she noticed"
14"His accent had changed—the rough"
15"She adjusted the bags on"
16"He gestured to the seat"
17"The words escaped before she"
18"His laugh was hollow."
19"The vinyl squeaked under her"
ratio0.855
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences62
matches
0"Before the drinking got worse."
1"Before the accusations and apologies"
ratio0.032
40.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences28
technicalSentenceCount4
matches
0"The rain hammered against the windows of The Raven's Nest, creating rivers that distorted the green neon glow from the sign outside."
1"His face was thinner than she remembered, cheekbones sharp where they'd once been soft, and his sandy hair was cut short in a way that made him look older than …"
2"She studied his face, searching for traces of the boy who'd charmed her in their first-year tort law seminar."
3"Behind the bar, Silas gave her a small nod—the kind of acknowledgment that said he'd been ready to intervene if needed."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags22
uselessAdditionCount1
matches
0"Evan said, though his eyes said otherwise"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"she announced (announce)"
dialogueSentences58
tagDensity0.069
leniency0.138
rawRatio0.25
effectiveRatio0.034
83.5796%